And Gpu Programming: An Integrated Ap... | Multicore
The book covers a vast landscape of parallel computing, including threads, OpenMP, MPI, CUDA, OpenCL, and the Thrust template library.
At over 1,000 pages , it is a massive reference that may be overwhelming for those seeking a quick, high-level overview rather than a deep dive. Ideal Audience According to Elsevier , the book is best suited for: Multicore and GPU Programming: An Integrated Ap...
Those needing to implement high-performance scientific simulations or machine learning algorithms. Multicore and GPU Programming: An Integrated Approach The book covers a vast landscape of parallel